[jira] [Created] (SPARK-21365) Deduplicate logics parsing DDL-like type definition

["Hyukjin Kwon (JIRA)" <ji...@apache.org>]

Hyukjin Kwon created SPARK-21365:
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             Summary: Deduplicate logics parsing DDL-like type definition
                 Key: SPARK-21365
                 URL: https://issues.apache.org/jira/browse/SPARK-21365
             Project: Spark
          Issue Type: Improvement
          Components: PySpark
    Affects Versions: 2.2.0
            Reporter: Hyukjin Kwon


It looks we duplicate https://github.com/apache/spark/blob/d492cc5a21cd67b3999b85d97f5c41c3734b1ba3/python/pyspark/sql/types.py#L823-L845 logic for parsing DDL-like type definitions.

There are also two more points here:

- This does not support "field type" but "field: type".

- This does not support nested schemas. For example as below:

{code}
>>> spark.createDataFrame([[[1]]], "struct<a: struct<b: int>>").show()
...
ValueError: The strcut field string format is: 'field_name:field_type', but got: a: struct<b: int>
{code}

{code}
>>> spark.createDataFrame([[[1]]], "a: struct<b: int>").show()
...
ValueError: The strcut field string format is: 'field_name:field_type', but got: a: struct<b: int>
{code}

{code}
>>> spark.createDataFrame([[[1]]], "a int").show()
...
ValueError: Could not parse datatype: a int
{code}



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